1st round online coding: python questions were easy. SQL questions though lengthy, were also easy. 2nd round Technical: Qns: 1) Explain projects briefly as mentioned in resume 2) Linear regression? Can we use classification with linear regression 3) Logistic regression, threshold score, ROC AUC curve, imbalanced classification 3) Clustering? Hierarchical , K-Means difference and explain 4) Random-forest, decision tree explain 5) Data analysis using pandas 6) Gave a problem case study and asked me to explain the steps taken: build hypothesis, what will be the impact 3rd round Technical: 1) Take one project and explain approach taken to solve in detail: business problem, data sources, pre-processing steps , feature engineering, algorithm used, evaluation metric 2) Random forest explain 3) different evaluation metrics used for classification - precision, recall 4th round HR general background check challenges faced and how did you resolve accomplishments in work
